Medicine and Healthnpj Aging and Mechanisms of Disease
Modeling transcriptomic age using knowledge-primed artificial neural networks
N. Holzscheck, C. Falckenhayn, et al.
Discover the groundbreaking age clock developed by Nicholas Holzscheck and his team, which accurately predicts age from biological data while revealing aging pathways. This innovative machine learning model goes beyond traditional methods by providing insights into accelerated aging conditions and longevity interventions.
Related Publications
Explore these studies to deepen your understanding
Adjacent work that informs or extends this paper's methodology and findings.
Computer Science
Biophysical neural adaptation mechanisms enable artificial neural networks to capture dynamic retinal computation
S. Idrees, M. B. Manookin, et al.
Environmental Studies and Forestry
Predicting the factors influencing construction enterprises’ adoption of green development behaviors using artificial neural network
X. Li, J. He, et al.
Engineering and Technology
Continuous estimation of power system inertia using convolutional neural networks
D. Linaro, F. Bizzarri, et al.
Environmental Studies and Forestry
Bioplastic design using multitask deep neural networks
C. Kuenneth, J. Lalonde, et al.

